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Trace Ratio Criterion for Feature Extraction in Classification

Author

Listed:
  • Guoqi Li
  • Changyun Wen
  • Wei Wei
  • Yi Xu
  • Jie Ding
  • Guangshe Zhao
  • Luping Shi

Abstract

A generalized linear discriminant analysis based on trace ratio criterion algorithm (GLDA-TRA) is derived to extract features for classification. With the proposed GLDA-TRA, a set of orthogonal features can be extracted in succession. Each newly extracted feature is the optimal feature that maximizes the trace ratio criterion function in the subspace orthogonal to the space spanned by the previous extracted features.

Suggested Citation

  • Guoqi Li & Changyun Wen & Wei Wei & Yi Xu & Jie Ding & Guangshe Zhao & Luping Shi, 2014. "Trace Ratio Criterion for Feature Extraction in Classification," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:725204
    DOI: 10.1155/2014/725204
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